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20142026
most citedA Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards

177 citations · 724 across the 71 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CG2024

VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction and Recognition

Rahul Moorthy, Jun-Jee Chao, Volkan Isler

The ability to capture rich representations of combinatorial structures has enabled the application of machine learning to tasks such as analysis and generation of floorplans, terr…

cs.RO2024

C-Uniform Trajectory Sampling For Fast Motion Planning

O. Goktug Poyrazoglu, Yukang Cao, Volkan Isler

We study the problem of sampling robot trajectories and introduce the notion of C-Uniformity. As opposed to the standard method of uniformly sampling control inputs (which lead to…

cs.DS2024

Stochastic Traveling Salesperson Problem with Neighborhoods for Object Detection

Cheng Peng, Minghan Wei, Volkan Isler

We introduce a new route-finding problem which considers perception and travel costs simultaneously. Specifically, we consider the problem of finding the shortest tour such that al…

cs.RO2024

Neural L1 Adaptive Control of Vehicle Lateral Dynamics

Pratik Mukherjee, Burak M. Gonultas, O. Goktug Poyrazoglu +1

We address the problem of stable and robust control of vehicles with lateral error dynamics for the application of lane keeping. Lane departure is the primary reason for half of th…

cs.RO2024

Pursuit-Evasion for Car-like Robots with Sensor Constraints

Burak M. Gonultas, Volkan Isler

We study a pursuit-evasion game between two players with car-like dynamics and sensing limitations by formalizing it as a partially observable stochastic zero-sum game. The partial…

cs.RO2024

Map-Aware Human Pose Prediction for Robot Follow-Ahead

Qingyuan Jiang, Burak Susam, Jun-Jee Chao +1

In the robot follow-ahead task, a mobile robot is tasked to maintain its relative position in front of a moving human actor while keeping the actor in sight. To accomplish this tas…